铜锣山岩溶隧道超前地质预报综合分析方法 [复制链接]

李天斌1，孟陆波1，朱 劲1，2，李永林2，牟 力2
(1. 成都理工大学 地质灾害防治与地质环境保护国家重点实验室，四川 成都 610059；2. 四川达渝高速公路建设开发有限公司，四川 达州 635000)
摘要：通过隧道介质物性差异特点分析和常见物探超前预报方法适宜性对比评价，提出“以地质分析为核心，综合物探与地质分析相结合，洞内外结合，长短预测结合以及物性参数互补”的综合预报原则，并建立较为完善的隧道超前地质综合预报方法体系和组织机构。针对隧道中断层、破碎岩体、富水情况、有无溶洞、软弱岩体5 种常见不良地质情况，提出合理的预报工作流程，并提取相关地质参数和物探成果参数，建立综合分级评价体系。最后，采用模糊神经网络方法，实现隧道常见不良地质情况的综合预报，铜锣山岩溶隧道应用情况表明，综合预报结果准确率达80%。
关键词：隧道工程；超前地质预报；模糊神经网络；综合分析
COMPREHENSIVE ANALYSIS METHOD FOR ADVANCED FORECAST OF GEOLOGY IN TUNNELS
LI Tianbin1，MENG Lubo1，ZHU Jin1，2，LI Yonglin2，MOU Li2
(1. State Key Laboratory of Geohazard Prevention and Geoenvironment Protection，Chengdu University of Technology，Chengdu，
Sichuan 610059，China；2. Sichuan Dayu Expressway Construction Co.，Ltd.，Dazhou，Sichuan 635000，China)
Abstract：By the analysis of physical difference of tunnel media and comparative evaluation of suitability of common advanced prediction of geology，a principle of comprehensive prediction that takes the geological analysis as the target，combining geological analysis and geophysical exploration，considering the condition inside and outside of the tunnel，employing long-term and short-term prediction methods，and adopting mutual geophysical parameters，is proposed. The system and organization of comprehensive geological prediction in tunnels are established. Then，the comprehensive prediction workflows of common unfavorable geological conditions such as fault，breaking of rock mass，enriched groundwater，karst，soft rock mass in tunnels are presented. Parameters of relevant geological and geophysical prospecting characteristics are given ； and comprehensive classification system is built. Finally，a comprehensive prediction model for solving geological problems has been constructed with fuzzy neural network(FNN). The comprehensive prediction system is used in Tongluoshan karst tunnel and the accuracy of the prediction is 80%.
Key words：tunnelling engineering；advanced prediction of geology；fuzzy neural network(FNN)；comprehensive analysis
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